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ODSC East 2019 Warm-Up Webinar



United States


Wednesday, February 20, 2019 -
1:00pm to 3:00pm


ODSC East is getting closer! We want to invite you to participate in ODSC East's Warm-Up webinar.

This event will feature four 30 minutes tutorials presented by our distinguished speakers listed below. These sessions will highlight some of the most integral topics, tools, and languages in AI for Engineers and give attendees a preview of what can be expected at ODSC East, Boston's largest applied data science conference. This four-day conference will feature over 250+ speakers and 300+ hours of content.

To access this webinar, please register using the link below:

Date: Feb.20th, 2019
Time: 1 pm - 3 pm EST

Full Agenda Detail:

Session 1 - Programming with Data: Python and Pandas (30 Minutes)

Speaker: Daniel Gerlanc, President, Enplus Advisors Inc.

In this workshop, you will learn how to accelerate your data analyses using the Python language and Pandas, a library specifically designed for interactive data analysis. Pandas is a massive library, so we will focus on its core functionality, specifically, loading, filtering, grouping, and transforming data. Having completed this workshop, you will understand the fundamentals of Pandas, be aware of common pitfalls, and be ready to perform your own analyses.

Session 2 - Real-ish Time Predictive Analytics with Spark Structured Streaming (30 Minutes)

Speaker: Scott Haines, Principal Software Engineer, Twilio

In this workshop, we will dive deep into what it takes to build and deliver an always-on "real-ish time" predictive analytics pipeline with Spark Structured Streaming.

The core focus of the workshop material will be on how to solve a common complex problem in which we have no labeled data in an unbounded timeseries dataset and need to understand the substructure of said chaos in order to apply common supervised and statistical modeling techniques to our data in a streaming fashion.

Session 3 - Modern and Old Reinforcement Learning (30 Minutes)

Speaker: Leonardo De Marchi, Head of Data Science and Analytics, Badoo

Reinforcement Learning recently progressed greatly in the industry as one of the best techniques for sequential decision making and control policies.

In this workshop we will explore Reinforcement Learning, starting from its fundamentals and ending creating our own algorithms.

We will use OpenAI gym to try our RL algorithms. In particular, we will start with some popular techniques like Multi Armed Bandit, going thought Markov Decision Processes and Dynamic Programming.

We then will also explore other RL frameworks and more complex concepts like Policy gradients methods and Deep Reinforcement learning, which recently changed the field of Reinforcement Learning. In particular we will see Actor Critic models and Proximal Policy Optimizations that allowed openai to beat some of the best Dota players.

We will also provide the necessary Deep Learning concepts for the course.

Session 4 - (30 Minutes)

Speaker: Sourav Dey, Ph.D., CTO, and Alex NG, Ph.D., Senior Data Engineer, Manifold (co-presenters)

In this workshop, Sourav and Alex will focus heavily on the DevOps side of things, demonstrating how to use Orbyter to spin up data science containers and discussing experiment management as part of the Lean AI process.

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